Research on Enterprise Risk Prediction Path Based on Knowledge Graph

DOI

10.2991/978-94-6463-264-4_80How to use a DOI?

Keywords

Enterprise risk prediction; Risk warning; Knowledge graph; Risk identification; risk evaluation

Abstract

Identifying risk information from enterprise big data is the top priority of enterprise risk management. Based on the literature research of enterprise risk early warning, the task of risk identification and risk evaluation in early warning research is summarized as enterprise risk prediction, and its realization path is divided into three parts: risk information mining, risk knowledge base construction and risk evaluation. The knowledge graph can realize the digitalization of enterprise risk prediction research, more accurately evaluate and predict enterprise risks, and improve the efficiency of enterprise risk early warning.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Zi Ye
AU  - Shengchun Ding
PY  - 2023
DA  - 2023/09/28
TI  - Research on Enterprise Risk Prediction Path Based on Knowledge Graph
BT  - Proceedings of the 2023 3rd International Conference on Education, Information Management and Service Science (EIMSS 2023)
PB  - Atlantis Press
SP  - 692
EP  - 701
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-264-4_80
DO  - 10.2991/978-94-6463-264-4_80
ID  - Ye2023
ER  -